EdotEnv: Teaching LLMs to Trade with Real Market Data

Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research

EdotEnv (YC S26) builds reinforcement learning environments from real market data to train AI agents in quantitative trading. Unlike static benchmarks that saturate, markets are non-saturating and self-improving, offering a continuously harder challenge. Agents use professional tools and Bash to develop profitable strategies, learning long-horizon planning under adversarial noise.